The spatial heterogeneity and correlation of population distribution in Xinjiang Uygur Autonomous Region

Abstract

Dispersion index and Gini coefficient can show the differences between areas. Spatial autocorrelation analysis is a way that analyzed data's correlation based on the spatial correlation analysis by studying correlation between one polygon and the nearest neighboring polygon through recognizing similar degree of major spatial object and other spatial objects. This paper studies the heterogeneity and correlation of population spatial distribution of Xinjiang Uygur Autonomous Region by using the spatial autocorrelation statistical techniques, Geography Information System (GIS) analysis, Gini coefficient and dispersion index based on county scale by population statistics data in 2009. There is obvious character of correlation between heterogeneity and correlation of population spatial distribution. The heterogeneity of population distribution is higher on the county scale than that on city scale, and the difference between two scales is high. Moran's I and Local Moran's I show that spatial concentration characteristic of population density is obvious.